Regarding weight assignment algorithms of main path analysis and the conversion of arc weights to node weights

Chung-Huei Kuan ()
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Chung-Huei Kuan: National Taiwan University of Science and Technology

Scientometrics, 2020, vol. 124, issue 1, No 33, 775-782

Abstract: Abstract In a recent article, Liu et al. (Scientometrics 119(1):379–391, 2019) elaborated a number of issues of the main path analysis (MPA) and provided valuable insight into its application. Among these issues, the authors compared three weight assignment algorithms and suggested that one is preferable in simulating the knowledge diffusion scenario. The authors further stated that one may convert a document’s related arc weights assigned by these algorithms into a weight of the document itself by taking the average of its incident and outgoing arc weights, and claimed that a document highly weighted as such may be considered as having a great impact. In this Letter, we address these two issues: (1) choice of weight assignment algorithms, and (2) conversion of arc weights to node weights from a different perspective and provide alternative suggestions, in the hope that we may enrich the discussion for MPA.

Keywords: Main path analysis; Weight assignment algorithm; Node weight; Weighted degree (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11192-020-03468-8

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